Decision-Stage AI Visibility: The Engines Buyers Ask
Buyers ask AI which option to choose before they reach your site. Decision-stage AI visibility is whether you win that recommendation, not just appear.
Jul 12, 2026•21 min read
Is Your llms.txt AI-Ready?
Validate your llms.txt against the emerging specification. Deep analysis of structure, content, links, entity definitions, and use policy.
llms.txt is an emerging web standard that helps AI models understand your website. Similar to how robots.txt tells search crawlers what to index, llms.txt tells language models what your site is about, what entities it represents, and how its content should be used. The specification includes sections for site description, key pages, entity definitions (the people, products, and concepts your site covers), and a use policy defining how AI systems may reference your content. A well-structured llms.txt file improves your chances of being accurately cited by ChatGPT, Perplexity, Claude, and other AI search engines.
What we validate
Structure & Formatting
H1 title, blockquote summary, markdown headings, and clean formatting.
Content Sections
Company info, products/services, descriptive content beyond just links.
Links & URLs
URL count, distribution across sections, internal vs external links.
Entity Definitions
"Is a/provides/offers" language that helps AI build entity associations.
Use Policy
Citation guidance, attribution rules, and contact information.
Completeness
Word count depth, llms-full.txt bonus, and section variety.
How We Score (And Why It Matters)
The Crawl Checker does a shallow llms.txt check (4 binary signals, 20 pts). This Validator goes deep: section-by-section analysis, link extraction, entity detection, word count analysis, spec compliance, and content quality.
Structure
20 ptsContent Sections
20 ptsLinks & URLs
20 ptsEntity Definitions
15 ptsUse Policy
10 ptsCompleteness
15 ptsBuilt on our own implementation
We built a dynamic, entity-aware llms.txt for pixelmojo.io that auto-maps from our knowledge graph. This validator reflects what we learned about what makes an llms.txt effective for AI discovery.
